ArticleScientific reports2024
A novel optimized neural network model for cyber attack detection using enhanced whale optimization algorithm.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Enhancing MTC device security in LTE networks for the fast and secure BC-based group handover authentication protocol.Scientific reports · 2026Article
- Ad hoc bandwidth requests and power conservation in 5G wireless networks with tiny cells.Scientific reports · 2025Article
- Leveraging data analytics to revolutionize cybersecurity with machine learning and deep learning.Scientific reports · 2025Article
- An innovative Squid Game Optimizer for enhanced channel estimation and massive MIMO detection using dilated adaptive RNNs.Scientific reports · 2025Article
- (IoT) Network intrusion detection system using optimization algorithms.Scientific reports · 2025Article
- Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation.Scientific reports · 2025Article
- Prediction of android ransomware with deep learning model using hybrid cryptography.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cybersecurity is critical in today's digitally linked and networked society. There is no way to overestimate the importance of cyber security as technology develops and becomes more pervasive in our daily lives. Cybersecurity is essential to people's protection. One type of cyberattack known as "credential stuffing" involves using previously acquired usernames and passwords by attackers to access user accounts on several websites without authorization. This is feasible as a lot of people use the same passwords and usernames on several different websites. Maintaining the security of online accounts requires defence against credential-stuffing attacks. The problems of credential stuffing attacks, failure detection, and prediction can be handled by the suggested EWOA-ANN model. Here, a novel optimization approach known as Enhanced Whale Optimization Algorithm (EWOA) is put on to train the neural network. The effectiveness of the suggested attack identification model has been demonstrated, and an empirical comparison will be carried out with respect to specific security analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.